A robust fingerprint matching approach: growing and fusing of local structures

Authors:
Wenquan Xu;Xiaoguang Chen;Jufu Feng
Affiliations:
Center for Information Science, School of Electronics Engineering and Computer Science, Peking University, Beijing, P. R. China;Center for Information Science, School of Electronics Engineering and Computer Science, Peking University, Beijing, P. R. China;Center for Information Science, School of Electronics Engineering and Computer Science, Peking University, Beijing, P. R. China
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

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Abstract

This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; and then all candidates of minutiae structures grow into larger local structures (we call growing regions) based on which we define the credibility of minutiae triangles and introduce a competition strategy; finally, growing regions compete and fuse into a much larger local structures (called fusion region). The matching score is calculated based on the evaluation of growing and fusing of local structures. Results on FVC2004 show that the proposed approach is robust to fingerprint nonlinear deformation and is efficient.